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Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China

Lihua Ma, Jiupai Ni, Luuk Fleskens, Han Wang, Yunqing Xuan Orcid Logo

Agriculture, Volume: 11, Issue: 6, Start page: 472

Swansea University Authors: Han Wang, Yunqing Xuan Orcid Logo

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DOI (Published version): 10.3390/agriculture11060472

Abstract

Non-point source pollution from excessive use of fertilizers in agriculture is a major cause of the eutrophication problem in China. Understanding farmers’ decision-making concerning fertilization and identifying the influencing factors in this process are key to tackling overfertilization and relat...

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Published in: Agriculture
ISSN: 2077-0472
Published: MDPI AG 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56952
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first_indexed 2021-05-24T11:19:51Z
last_indexed 2023-01-11T14:36:31Z
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spelling 2022-12-18T09:37:32.8385642 v2 56952 2021-05-24 Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China a718b31e3f1749890106d990af40fb3c Han Wang Han Wang true false 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2021-05-24 FGSEN Non-point source pollution from excessive use of fertilizers in agriculture is a major cause of the eutrophication problem in China. Understanding farmers’ decision-making concerning fertilization and identifying the influencing factors in this process are key to tackling overfertilization and related pollution issues. This paper reports a study on modelling decisions about fertilizer use based on data collected from 200 farmer households in the Three Gorges Reservoir area of China, using a well-fitted artificial neural network (ANN) with incorporated variance-based sensitivity analysis. The rate of fertilizer use estimated from the model is in good agreement with observed data. The model is further validated and tested by comparing the simulated and observed values. Results show that the model is able to identify the influencing factors and their interactions causing the variation in fertilizer use and to help pinpoint the underlying reasons. It is found that the farmers’ fertilization behavior is greatly affected by the area of cultivated land, followed by the interaction among farmers’ education level, annual income, and awareness of the importance of environmental protection. Future land consolidation is one of several ways to achieve more sustainable fertilization strategies. Journal Article Agriculture 11 6 472 MDPI AG 2077-0472 farmer behavior; fertilizer use; artificial neural networks; uncertainty analysis 21 5 2021 2021-05-21 10.3390/agriculture11060472 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University Payment of the OA fee split between two institutions 2022-12-18T09:37:32.8385642 2021-05-24T12:16:46.1466439 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Lihua Ma 1 Jiupai Ni 2 Luuk Fleskens 3 Han Wang 4 Yunqing Xuan 0000-0003-2736-8625 5 56952__20136__18d48f1574064a3aafec552a6d4c7d5b.pdf 56952.pdf 2021-06-11T14:10:27.9587374 Output 2497018 application/pdf Version of Record true © 2021 by the authors. This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license true eng https://creativecommons.org/licenses/by/4.0/
title Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
spellingShingle Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
Han Wang
Yunqing Xuan
title_short Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
title_full Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
title_fullStr Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
title_full_unstemmed Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
title_sort Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China
author_id_str_mv a718b31e3f1749890106d990af40fb3c
3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv a718b31e3f1749890106d990af40fb3c_***_Han Wang
3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Han Wang
Yunqing Xuan
author2 Lihua Ma
Jiupai Ni
Luuk Fleskens
Han Wang
Yunqing Xuan
format Journal article
container_title Agriculture
container_volume 11
container_issue 6
container_start_page 472
publishDate 2021
institution Swansea University
issn 2077-0472
doi_str_mv 10.3390/agriculture11060472
publisher MDPI AG
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description Non-point source pollution from excessive use of fertilizers in agriculture is a major cause of the eutrophication problem in China. Understanding farmers’ decision-making concerning fertilization and identifying the influencing factors in this process are key to tackling overfertilization and related pollution issues. This paper reports a study on modelling decisions about fertilizer use based on data collected from 200 farmer households in the Three Gorges Reservoir area of China, using a well-fitted artificial neural network (ANN) with incorporated variance-based sensitivity analysis. The rate of fertilizer use estimated from the model is in good agreement with observed data. The model is further validated and tested by comparing the simulated and observed values. Results show that the model is able to identify the influencing factors and their interactions causing the variation in fertilizer use and to help pinpoint the underlying reasons. It is found that the farmers’ fertilization behavior is greatly affected by the area of cultivated land, followed by the interaction among farmers’ education level, annual income, and awareness of the importance of environmental protection. Future land consolidation is one of several ways to achieve more sustainable fertilization strategies.
published_date 2021-05-21T04:12:18Z
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score 11.037166

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